Senior Staff Software Engineer - GenAI Platform

Founded in late 2020 by a small group of machine learning engineers and researchers, MosaicML allows companies to securely fine-tune, train, and deploy custom AI models on their data, ensuring maximum security and control. Compatible with all major cloud providers, the MosaicML platform offers utmost flexibility for AI development. Introduced in 2023, MosaicML’s pre-trained transformer models have become the new benchmark for open-source, commercially available LLMs and have been downloaded over 3 million times. MosaicML firmly believes that a company’s AI models are as valuable as any other core IP, and high-quality AI models should be accessible to everyone. Now part of Databricks since July 2023, we are enthusiastic about empowering our customers to tackle the world's greatest challenges — from realizing the next mode of transportation to accelerating the development of medical breakthroughs. We accomplish this by developing and operating the world's leading data and AI platform so our clients can use profound data insights to enhance their business. We seize every chance to solve technical issues, striving to equip our customers with the best data and AI capabilities. Summary: Databricks is hiring a Senior Staff Software Engineer to play a crucial role in constructing our Generative AI platform and products, and in nurturing our team of software engineers. You will: - Function as a technical lead, monitoring and supervising projects and engineers on the team. - Play a significant hands-on role in the design and execution of our ML infrastructure and GenAI platform software technologies - Steering our technological vision and roadmap - Establish software development best practices, and lead by example in applying them - Develop our engineering organization and culture through hiring, mentoring, and feedback. We look for: - 8+ years of hands-on programming experience with at least one modern language such as Python, Go, or C++ - 8+ years of experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools - Strong understanding of software design and usability of ML systems - Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. - Previous experience in developing public cloud services or open source ML software is an advantage. We appreciate candidates who are curious about all aspects of the company's success and are eager to learn new skills and technologies along the way. Pay Range Transparency Databricks is devoted to fair and equitable compensation practices. The payscale for this role is listed below and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on these factors, Databricks uses the full breadth of the range. The total compensation package for this position may also include eligibility for an annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range: $232,000 — $313,000 USD. About Databricks Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to consolidate their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to facilitate data teams to solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and Inclusion At Databricks, we are committed to nurturing a diverse and inclusive culture where everyone can excel. We take great care to ensure our hiring practices are inclusive and meet equal employment opportunity standards. Individuals seeking employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.